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Wang, Z. (2025) Research on Prediction of Air Quality CO Concentration Based on Python Machine Learning. Advances in Internet ...

Discover how quants leverage algorithms for profitable trading, their evolving role, and potential earnings in the dynamic financial industry.

High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Abstract: This paper presents an improved dynamic obstacle avoidance path planning algorithm, named DOA-RRT* (Dynamic Obstacle Avoidance RRT*), designed to address the challenges posed by dynamic ...

I propose adding an implementation for the K-Medoids clustering algorithm to this repository. K-Medoids is a classic clustering technique, similar to K-Means, but uses actual data points (medoids) as ...

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BWI Group produces its 11 millionth MagneRide ® damper as fourth-generation production ramps up worldwide. The SDV-ready technology enables 1,000 Hz damping control through real-time sensor data and ...

Abstract: The Dynamic Vehicle Routing Problem with Time Windows (DVRPTW) is a widespread real-world challenge, and numerous algorithms have been proposed to address it. However, in the context of an ...